Overview

Dataset statistics

Number of variables176
Number of observations23432
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows51
Duplicate rows (%)0.2%
Total size in memory31.5 MiB
Average record size in memory1.4 KiB

Variable types

CAT160
BOOL14
NUM2

Warnings

Dataset has 51 (0.2%) duplicate rows Duplicates
pax_name has a high cardinality: 20972 distinct values High cardinality
pax_passport has a high cardinality: 21075 distinct values High cardinality
seg_dep_time has a high cardinality: 5655 distinct values High cardinality
birth_date has a high cardinality: 2915 distinct values High cardinality
nation_name has a high cardinality: 56 distinct values High cardinality
city_name has a high cardinality: 298 distinct values High cardinality
province_name has a high cardinality: 88 distinct values High cardinality
pref_orig_m3_1 has a high cardinality: 63 distinct values High cardinality
pref_orig_m3_2 has a high cardinality: 84 distinct values High cardinality
pref_orig_m3_3 has a high cardinality: 68 distinct values High cardinality
pref_orig_m3_4 has a high cardinality: 56 distinct values High cardinality
pref_orig_m3_5 has a high cardinality: 51 distinct values High cardinality
pref_orig_m6_1 has a high cardinality: 73 distinct values High cardinality
pref_orig_m6_2 has a high cardinality: 100 distinct values High cardinality
pref_orig_m6_3 has a high cardinality: 89 distinct values High cardinality
pref_orig_m6_4 has a high cardinality: 80 distinct values High cardinality
pref_orig_m6_5 has a high cardinality: 67 distinct values High cardinality
pref_orig_y1_1 has a high cardinality: 80 distinct values High cardinality
pref_orig_y1_2 has a high cardinality: 116 distinct values High cardinality
pref_orig_y1_3 has a high cardinality: 118 distinct values High cardinality
pref_orig_y1_4 has a high cardinality: 94 distinct values High cardinality
pref_orig_y1_5 has a high cardinality: 87 distinct values High cardinality
pref_orig_y2_1 has a high cardinality: 79 distinct values High cardinality
pref_orig_y2_2 has a high cardinality: 131 distinct values High cardinality
pref_orig_y2_3 has a high cardinality: 134 distinct values High cardinality
pref_orig_y2_4 has a high cardinality: 120 distinct values High cardinality
pref_orig_y2_5 has a high cardinality: 102 distinct values High cardinality
pref_orig_y3_1 has a high cardinality: 73 distinct values High cardinality
pref_orig_y3_2 has a high cardinality: 130 distinct values High cardinality
pref_orig_y3_3 has a high cardinality: 141 distinct values High cardinality
pref_orig_y3_4 has a high cardinality: 132 distinct values High cardinality
pref_orig_y3_5 has a high cardinality: 108 distinct values High cardinality
pref_line_m3_1 has a high cardinality: 176 distinct values High cardinality
pref_line_m3_2 has a high cardinality: 195 distinct values High cardinality
pref_line_m3_3 has a high cardinality: 155 distinct values High cardinality
pref_line_m3_4 has a high cardinality: 140 distinct values High cardinality
pref_line_m3_5 has a high cardinality: 108 distinct values High cardinality
pref_line_m6_1 has a high cardinality: 219 distinct values High cardinality
pref_line_m6_2 has a high cardinality: 269 distinct values High cardinality
pref_line_m6_3 has a high cardinality: 224 distinct values High cardinality
pref_line_m6_4 has a high cardinality: 198 distinct values High cardinality
pref_line_m6_5 has a high cardinality: 161 distinct values High cardinality
pref_line_y1_1 has a high cardinality: 282 distinct values High cardinality
pref_line_y1_2 has a high cardinality: 334 distinct values High cardinality
pref_line_y1_3 has a high cardinality: 306 distinct values High cardinality
pref_line_y1_4 has a high cardinality: 288 distinct values High cardinality
pref_line_y1_5 has a high cardinality: 242 distinct values High cardinality
pref_line_y2_1 has a high cardinality: 322 distinct values High cardinality
pref_line_y2_2 has a high cardinality: 377 distinct values High cardinality
pref_line_y2_3 has a high cardinality: 411 distinct values High cardinality
pref_line_y2_4 has a high cardinality: 390 distinct values High cardinality
pref_line_y2_5 has a high cardinality: 348 distinct values High cardinality
pref_line_y3_1 has a high cardinality: 312 distinct values High cardinality
pref_line_y3_2 has a high cardinality: 379 distinct values High cardinality
pref_line_y3_3 has a high cardinality: 442 distinct values High cardinality
pref_line_y3_4 has a high cardinality: 435 distinct values High cardinality
pref_line_y3_5 has a high cardinality: 394 distinct values High cardinality
pref_city_m3_1 has a high cardinality: 61 distinct values High cardinality
pref_city_m3_2 has a high cardinality: 84 distinct values High cardinality
pref_city_m3_3 has a high cardinality: 68 distinct values High cardinality
pref_city_m3_4 has a high cardinality: 56 distinct values High cardinality
pref_city_m6_1 has a high cardinality: 76 distinct values High cardinality
pref_city_m6_2 has a high cardinality: 103 distinct values High cardinality
pref_city_m6_3 has a high cardinality: 89 distinct values High cardinality
pref_city_m6_4 has a high cardinality: 74 distinct values High cardinality
pref_city_m6_5 has a high cardinality: 64 distinct values High cardinality
pref_city_y1_1 has a high cardinality: 92 distinct values High cardinality
pref_city_y1_2 has a high cardinality: 123 distinct values High cardinality
pref_city_y1_3 has a high cardinality: 119 distinct values High cardinality
pref_city_y1_4 has a high cardinality: 107 distinct values High cardinality
pref_city_y1_5 has a high cardinality: 98 distinct values High cardinality
pref_city_y2_1 has a high cardinality: 85 distinct values High cardinality
pref_city_y2_2 has a high cardinality: 127 distinct values High cardinality
pref_city_y2_3 has a high cardinality: 141 distinct values High cardinality
pref_city_y2_4 has a high cardinality: 132 distinct values High cardinality
pref_city_y2_5 has a high cardinality: 107 distinct values High cardinality
pref_city_y3_1 has a high cardinality: 78 distinct values High cardinality
pref_city_y3_2 has a high cardinality: 130 distinct values High cardinality
pref_city_y3_3 has a high cardinality: 149 distinct values High cardinality
pref_city_y3_4 has a high cardinality: 146 distinct values High cardinality
pref_city_y3_5 has a high cardinality: 116 distinct values High cardinality
recent_flt_day has a high cardinality: 994 distinct values High cardinality
pref_orig_city_m3 has a high cardinality: 76 distinct values High cardinality
pref_orig_city_m6 has a high cardinality: 90 distinct values High cardinality
pref_orig_city_y1 has a high cardinality: 102 distinct values High cardinality
pref_orig_city_y2 has a high cardinality: 104 distinct values High cardinality
pref_orig_city_y3 has a high cardinality: 102 distinct values High cardinality
pref_dest_city_m3 has a high cardinality: 77 distinct values High cardinality
pref_dest_city_m6 has a high cardinality: 90 distinct values High cardinality
pref_dest_city_y1 has a high cardinality: 94 distinct values High cardinality
pref_dest_city_y2 has a high cardinality: 95 distinct values High cardinality
pref_dest_city_y3 has a high cardinality: 89 distinct values High cardinality

Reproduction

Analysis started2021-02-23 05:05:28.423519
Analysis finished2021-02-23 05:05:32.292519
Duration3.87 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

pax_name
Categorical

HIGH CARDINALITY

Distinct20972
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
1c86fb42ab58cb2df206bae2b6ed15a1
 
33
8e2fb4de629808f9429cb279c85d7efc
 
15
b592ca6e8d0518ddab5eeb89f5a0449f
 
14
d4ab2ef44db402186d29d15fb438cbbf
 
10
646fc2fcc29979f51696a66049db024b
 
10
Other values (20967)
23350 
ValueCountFrequency (%) 
1c86fb42ab58cb2df206bae2b6ed15a1330.1%
 
8e2fb4de629808f9429cb279c85d7efc150.1%
 
b592ca6e8d0518ddab5eeb89f5a0449f140.1%
 
d4ab2ef44db402186d29d15fb438cbbf10< 0.1%
 
646fc2fcc29979f51696a66049db024b10< 0.1%
 
d527ea7035d967f33cd32046db34381310< 0.1%
 
a1f1c4cf158e388bbc4648bf7917b3fb9< 0.1%
 
bf0b48b96aad1ec7f6f1a5c043d18f3b9< 0.1%
 
1ee68ac7d269936eac3cb678535c16678< 0.1%
 
e2461c4a89cc8478f46b8ae20d6d3b228< 0.1%
 
Other values (20962)2330699.5%
 
2021-02-23T13:05:32.426520image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique19244 ?
Unique (%)82.1%

pax_passport
Categorical

HIGH CARDINALITY

Distinct21075
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
306536af81b052feefee3ad9cb168da8
 
30
b19ea5fe19a2a9551b65f09a3b8e8a70
 
15
18a6a516c905d041ca3545d9a43d1d14
 
14
1ccd17e3c86face6f81bc2efdfc33831
 
12
21c328427fa457a489bb520fb7c12b81
 
10
Other values (21070)
23351 
ValueCountFrequency (%) 
306536af81b052feefee3ad9cb168da8300.1%
 
b19ea5fe19a2a9551b65f09a3b8e8a70150.1%
 
18a6a516c905d041ca3545d9a43d1d14140.1%
 
1ccd17e3c86face6f81bc2efdfc33831120.1%
 
21c328427fa457a489bb520fb7c12b8110< 0.1%
 
717635ba93bd3823db106f96e9d033c39< 0.1%
 
96cfa9c2e5984debcf67f8bc2a8333da9< 0.1%
 
70e00017a5076f46784e2e24a103d4419< 0.1%
 
5d71151bbbd856f3d76fa09059f8e68f8< 0.1%
 
d1f3105533a37cb29b181264e8571b6e8< 0.1%
 
Other values (21065)2330899.5%
 
2021-02-23T13:05:32.610518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique19376 ?
Unique (%)82.7%

seg_route_to
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
LAX
7910 
JFK
7894 
SYD
7628 
ValueCountFrequency (%) 
LAX791033.8%
 
JFK789433.7%
 
SYD762832.6%
 
2021-02-23T13:05:32.733518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

seg_flight
Categorical

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
AB1007
4902 
AB1006
4568 
AB1008
4228 
AB1010
3326 
AB1009
2968 
Other values (12)
3440 
ValueCountFrequency (%) 
AB1007490220.9%
 
AB1006456819.5%
 
AB1008422818.0%
 
AB1010332614.2%
 
AB1009296812.7%
 
AB1013256510.9%
 
AB10156862.9%
 
AB10141600.7%
 
AB1005140.1%
 
AB10005< 0.1%
 
Other values (7)10< 0.1%
 
2021-02-23T13:05:32.834517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique5 ?
Unique (%)< 0.1%

seg_cabin
Categorical

Distinct5
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size183.1 KiB
Y
20363 
J
2962 
W
 
90
F
 
12
C
 
4
ValueCountFrequency (%) 
Y2036386.9%
 
J296212.6%
 
W900.4%
 
F120.1%
 
C4< 0.1%
 
(Missing)1< 0.1%
 
2021-02-23T13:05:32.950521image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

seg_dep_time
Categorical

HIGH CARDINALITY

Distinct5655
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
2018/12/24 0:05
 
46
2018/12/23 20:20
 
34
2019/1/12 20:20
 
30
2019/12/31 0:05
 
30
2019/1/2 20:20
 
29
Other values (5650)
23263 
ValueCountFrequency (%) 
2018/12/24 0:05460.2%
 
2018/12/23 20:20340.1%
 
2019/1/12 20:20300.1%
 
2019/12/31 0:05300.1%
 
2019/1/2 20:20290.1%
 
2019/4/24 20:20290.1%
 
2018/12/29 20:20280.1%
 
2019/3/24 13:20280.1%
 
2018/4/11 21:00280.1%
 
2019/4/26 20:20260.1%
 
Other values (5645)2312498.7%
 
2021-02-23T13:05:33.095525image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1315 ?
Unique (%)5.6%

pax_fcny
Real number (ℝ≥0)

Distinct3153
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22285.2966
Minimum0
Maximum4264300
Zeros34
Zeros (%)0.1%
Memory size183.1 KiB
2021-02-23T13:05:33.219518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150
Q1317.75
median568
Q31196
95-th percentile63769
Maximum4264300
Range4264300
Interquartile range (IQR)878.25

Descriptive statistics

Standard deviation117848.6986
Coefficient of variation (CV)5.28818174
Kurtosis237.1807462
Mean22285.2966
Median Absolute Deviation (MAD)312
Skewness11.36753735
Sum522189069.9
Variance1.388831575e+10
MonotocityNot monotonic
2021-02-23T13:05:33.333516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2003911.7%
 
3003461.5%
 
1502521.1%
 
2202371.0%
 
1602210.9%
 
2501820.8%
 
2401610.7%
 
2101600.7%
 
2301490.6%
 
2801350.6%
 
Other values (3143)2119890.5%
 
ValueCountFrequency (%) 
0340.1%
 
0.05160.1%
 
0.11< 0.1%
 
141< 0.1%
 
161< 0.1%
 
ValueCountFrequency (%) 
42643001< 0.1%
 
35446001< 0.1%
 
34651001< 0.1%
 
31982002< 0.1%
 
28000002< 0.1%
 

pax_tax
Real number (ℝ≥0)

Distinct5409
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15419.39163
Minimum0
Maximum636700
Zeros90
Zeros (%)0.4%
Memory size183.1 KiB
2021-02-23T13:05:33.449517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150.86
Q1242.525
median299.36
Q3454.06
95-th percentile30730
Maximum636700
Range636700
Interquartile range (IQR)211.535

Descriptive statistics

Standard deviation69443.02403
Coefficient of variation (CV)4.503616335
Kurtosis20.07018201
Mean15419.39163
Median Absolute Deviation (MAD)127.9
Skewness4.65651811
Sum361307184.7
Variance4822333586
MonotocityNot monotonic
2021-02-23T13:05:33.572518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
454.162561.1%
 
455.611790.8%
 
454.431740.7%
 
454.061640.7%
 
454.261530.7%
 
455.511490.6%
 
299.061440.6%
 
280.461290.6%
 
455.431210.5%
 
152.861180.5%
 
Other values (5399)2184593.2%
 
ValueCountFrequency (%) 
0900.4%
 
0.05160.1%
 
0.11< 0.1%
 
5.61< 0.1%
 
10.63< 0.1%
 
ValueCountFrequency (%) 
6367001< 0.1%
 
4949001< 0.1%
 
4849001< 0.1%
 
3993001< 0.1%
 
3975001< 0.1%
 

emd_lable
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
16230 
1
7202 
ValueCountFrequency (%) 
01623069.3%
 
1720230.7%
 

emd_lable2
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21957 
1
 
1475
ValueCountFrequency (%) 
02195793.7%
 
114756.3%
 

gender
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18629 
M
2432 
F
2313 
U
 
58
ValueCountFrequency (%) 
01862979.5%
 
M243210.4%
 
F23139.9%
 
U580.2%
 
2021-02-23T13:05:33.686517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

age
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19464 
21-30
 
1226
31-40
 
923
51-60
 
604
41-50
 
550
Other values (3)
 
665
ValueCountFrequency (%) 
01946483.1%
 
21-3012265.2%
 
31-409233.9%
 
51-606042.6%
 
41-505502.3%
 
60+5232.2%
 
11月20日1080.5%
 
0-10340.1%
 
2021-02-23T13:05:33.788519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

birth_date
Categorical

HIGH CARDINALITY

Distinct2915
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19833 
1966/4/22
 
15
1967/10/30
 
14
1959/9/14
 
8
1986/4/18
 
6
Other values (2910)
3556 
ValueCountFrequency (%) 
01983384.6%
 
1966/4/22150.1%
 
1967/10/30140.1%
 
1959/9/148< 0.1%
 
1986/4/186< 0.1%
 
1984/5/76< 0.1%
 
1988/9/265< 0.1%
 
1963/9/85< 0.1%
 
1966/11/95< 0.1%
 
1959/4/35< 0.1%
 
Other values (2905)353015.1%
 
2021-02-23T13:05:33.920515image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2407 ?
Unique (%)10.3%
Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19023 
中国
4290 
美国
 
66
澳大利亚
 
24
中国台湾
 
5
Other values (10)
 
24
ValueCountFrequency (%) 
01902381.2%
 
中国429018.3%
 
美国660.3%
 
澳大利亚240.1%
 
中国台湾5< 0.1%
 
日本5< 0.1%
 
新加坡4< 0.1%
 
越南3< 0.1%
 
英国3< 0.1%
 
泰国3< 0.1%
 
Other values (5)6< 0.1%
 
2021-02-23T13:05:34.038517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%

nation_name
Categorical

HIGH CARDINALITY

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19887 
美国
 
1577
中国
 
932
澳大利亚
 
399
韩国
 
233
Other values (51)
 
404
ValueCountFrequency (%) 
01988784.9%
 
美国15776.7%
 
中国9324.0%
 
澳大利亚3991.7%
 
韩国2331.0%
 
菲律宾680.3%
 
中国台湾460.2%
 
新加坡410.2%
 
日本300.1%
 
墨西哥290.1%
 
Other values (46)1900.8%
 
2021-02-23T13:05:34.159516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique19 ?
Unique (%)0.1%

city_name
Categorical

HIGH CARDINALITY

Distinct298
Distinct (%)1.3%
Missing4
Missing (%)< 0.1%
Memory size183.1 KiB
0
22438 
上海市
 
179
上海
 
154
***
 
46
浦东新区
 
19
Other values (293)
 
592
ValueCountFrequency (%) 
02243895.8%
 
上海市1790.8%
 
上海1540.7%
 
***460.2%
 
浦东新区190.1%
 
北京180.1%
 
Sydney170.1%
 
悉尼120.1%
 
长宁区120.1%
 
苏州10< 0.1%
 
Other values (288)5232.2%
 
2021-02-23T13:05:34.292518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique187 ?
Unique (%)0.8%

province_name
Categorical

HIGH CARDINALITY

Distinct88
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22496 
SH
 
389
JS
 
91
ZJ
 
46
NSW
 
43
Other values (83)
 
367
ValueCountFrequency (%) 
02249696.0%
 
SH3891.7%
 
JS910.4%
 
ZJ460.2%
 
NSW430.2%
 
AH420.2%
 
BJ260.1%
 
SD240.1%
 
***200.1%
 
CA160.1%
 
Other values (78)2391.0%
 
2021-02-23T13:05:34.416516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique40 ?
Unique (%)0.2%

marital_stat
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22840 
U
 
309
S
 
195
M
 
88
ValueCountFrequency (%) 
02284097.5%
 
U3091.3%
 
S1950.8%
 
M880.4%
 
2021-02-23T13:05:34.513517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

member_level
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19833 
STD
3263 
SILHL
 
145
GOLHL
 
75
PLTSL
 
73
Other values (2)
 
43
ValueCountFrequency (%) 
01983384.6%
 
STD326313.9%
 
SILHL1450.6%
 
GOLHL750.3%
 
PLTSL730.3%
 
CHD390.2%
 
SILSL4< 0.1%
 
2021-02-23T13:05:34.602519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

enroll_chnl
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19833 
网站
3052 
销售单位
 
175
手机平台
 
136
其它
 
118
Other values (3)
 
118
ValueCountFrequency (%) 
01983384.6%
 
网站305213.0%
 
销售单位1750.7%
 
手机平台1360.6%
 
其它1180.5%
 
电话660.3%
 
移动客舱510.2%
 
联名卡1< 0.1%
 
2021-02-23T13:05:34.699517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

cabin_hf_cnt_m3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23415 
2
 
10
1
 
7
ValueCountFrequency (%) 
02341599.9%
 
210< 0.1%
 
17< 0.1%
 
2021-02-23T13:05:34.791546image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

cabin_hf_cnt_m6
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23408 
1
 
13
2
 
11
ValueCountFrequency (%) 
02340899.9%
 
1130.1%
 
211< 0.1%
 
2021-02-23T13:05:34.878516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

cabin_hf_cnt_y1
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23393 
1
 
24
2
 
13
3
 
2
ValueCountFrequency (%) 
02339399.8%
 
1240.1%
 
2130.1%
 
32< 0.1%
 
2021-02-23T13:05:34.961519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

cabin_f_cnt_m3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23430 
2
 
1
1
 
1
ValueCountFrequency (%) 
023430> 99.9%
 
21< 0.1%
 
11< 0.1%
 
2021-02-23T13:05:35.044518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%

cabin_f_cnt_m6
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23421 
1
 
7
2
 
4
ValueCountFrequency (%) 
023421> 99.9%
 
17< 0.1%
 
24< 0.1%
 
2021-02-23T13:05:35.129519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22495 
773
 
362
359
 
167
789
 
88
33H
 
45
Other values (20)
 
275
ValueCountFrequency (%) 
02249596.0%
 
7733621.5%
 
3591670.7%
 
789880.4%
 
33H450.2%
 
73H400.2%
 
33E330.1%
 
33L310.1%
 
320290.1%
 
325250.1%
 
Other values (15)1170.5%
 
2021-02-23T13:05:35.226520image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22495 
773
 
226
359
 
159
320
 
70
33H
 
53
Other values (19)
 
429
ValueCountFrequency (%) 
02249596.0%
 
7732261.0%
 
3591590.7%
 
320700.3%
 
33H530.2%
 
789490.2%
 
73H490.2%
 
325490.2%
 
33E480.2%
 
738420.2%
 
Other values (14)1920.8%
 
2021-02-23T13:05:35.325517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22730 
773
 
203
359
 
141
33H
 
43
325
 
43
Other values (18)
 
272
ValueCountFrequency (%) 
02273097.0%
 
7732030.9%
 
3591410.6%
 
33H430.2%
 
325430.2%
 
789370.2%
 
320360.2%
 
33L330.1%
 
73H240.1%
 
33E230.1%
 
Other values (13)1190.5%
 
2021-02-23T13:05:35.423519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22825 
773
 
202
359
 
131
320
 
42
789
 
34
Other values (18)
 
198
ValueCountFrequency (%) 
02282597.4%
 
7732020.9%
 
3591310.6%
 
320420.2%
 
789340.1%
 
33H310.1%
 
33E250.1%
 
73H210.1%
 
325200.1%
 
738170.1%
 
Other values (13)840.4%
 
2021-02-23T13:05:35.515517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22870 
773
 
202
359
 
126
789
 
34
33H
 
32
Other values (18)
 
168
ValueCountFrequency (%) 
02287097.6%
 
7732020.9%
 
3591260.5%
 
789340.1%
 
33H320.1%
 
320260.1%
 
325210.1%
 
73H210.1%
 
738150.1%
 
33E150.1%
 
Other values (13)700.3%
 
2021-02-23T13:05:35.614519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
773
 
669
359
 
303
789
 
107
33H
 
79
Other values (20)
 
392
ValueCountFrequency (%) 
02188293.4%
 
7736692.9%
 
3593031.3%
 
7891070.5%
 
33H790.3%
 
320640.3%
 
73H500.2%
 
33L480.2%
 
73E420.2%
 
325370.2%
 
Other values (15)1510.6%
 
2021-02-23T13:05:35.713518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%
Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
773
 
392
359
 
264
33H
 
113
320
 
112
Other values (21)
 
669
ValueCountFrequency (%) 
02188293.4%
 
7733921.7%
 
3592641.1%
 
33H1130.5%
 
3201120.5%
 
33E810.3%
 
33L800.3%
 
325770.3%
 
73H640.3%
 
789600.3%
 
Other values (16)3071.3%
 
2021-02-23T13:05:35.812516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct22
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22274 
773
 
350
359
 
236
33H
 
83
320
 
74
Other values (17)
 
415
ValueCountFrequency (%) 
02227495.1%
 
7733501.5%
 
3592361.0%
 
33H830.4%
 
320740.3%
 
325690.3%
 
73H480.2%
 
33E450.2%
 
789380.2%
 
33L350.1%
 
Other values (12)1800.8%
 
2021-02-23T13:05:35.914516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22457 
773
 
343
359
 
223
320
 
65
33H
 
56
Other values (18)
 
288
ValueCountFrequency (%) 
02245795.8%
 
7733431.5%
 
3592231.0%
 
320650.3%
 
33H560.2%
 
325530.2%
 
789370.2%
 
33E330.1%
 
73E310.1%
 
738250.1%
 
Other values (13)1090.5%
 
2021-02-23T13:05:36.016518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct22
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22537 
773
 
342
359
 
219
33H
 
54
320
 
47
Other values (17)
 
233
ValueCountFrequency (%) 
02253796.2%
 
7733421.5%
 
3592190.9%
 
33H540.2%
 
320470.2%
 
789370.2%
 
325290.1%
 
33E270.1%
 
73E190.1%
 
33L190.1%
 
Other values (12)1020.4%
 
2021-02-23T13:05:36.113519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
773
 
1752
359
 
356
33H
 
247
789
 
122
Other values (19)
 
628
ValueCountFrequency (%) 
02032786.7%
 
77317527.5%
 
3593561.5%
 
33H2471.1%
 
7891220.5%
 
33L970.4%
 
320830.4%
 
325730.3%
 
73H670.3%
 
33E630.3%
 
Other values (14)2451.0%
 
2021-02-23T13:05:36.217519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
773
 
837
33H
 
315
359
 
266
33L
 
221
Other values (23)
 
1466
ValueCountFrequency (%) 
02032786.7%
 
7738373.6%
 
33H3151.3%
 
3592661.1%
 
33L2210.9%
 
3201900.8%
 
73H1860.8%
 
33E1810.8%
 
3251570.7%
 
73E1130.5%
 
Other values (18)6392.7%
 
2021-02-23T13:05:36.336516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21175 
773
 
718
33H
 
265
359
 
197
33E
 
154
Other values (21)
 
923
ValueCountFrequency (%) 
02117590.4%
 
7737183.1%
 
33H2651.1%
 
3591970.8%
 
33E1540.7%
 
3251360.6%
 
3201330.6%
 
33L1210.5%
 
73H700.3%
 
738670.3%
 
Other values (16)3961.7%
 
2021-02-23T13:05:36.446518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21711 
773
 
698
359
 
166
33H
 
158
320
 
111
Other values (20)
 
588
ValueCountFrequency (%) 
02171192.7%
 
7736983.0%
 
3591660.7%
 
33H1580.7%
 
3201110.5%
 
325960.4%
 
33E960.4%
 
33L560.2%
 
73E420.2%
 
73H380.2%
 
Other values (15)2601.1%
 
2021-02-23T13:05:36.543517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%
Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21959 
773
 
688
359
 
160
33H
 
127
33E
 
91
Other values (20)
 
407
ValueCountFrequency (%) 
02195993.7%
 
7736882.9%
 
3591600.7%
 
33H1270.5%
 
33E910.4%
 
325610.3%
 
33L470.2%
 
320470.2%
 
73H420.2%
 
73E280.1%
 
Other values (15)1820.8%
 
2021-02-23T13:05:37.312519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%
Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
773
5397 
33H
 
919
320
 
185
33E
 
164
Other values (22)
 
805
ValueCountFrequency (%) 
01596268.1%
 
773539723.0%
 
33H9193.9%
 
3201850.8%
 
33E1640.7%
 
3591270.5%
 
73H1240.5%
 
3251060.5%
 
33L900.4%
 
73E690.3%
 
Other values (17)2891.2%
 
2021-02-23T13:05:37.416518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
773
1892 
73H
 
811
33H
 
732
325
 
698
Other values (24)
3337 
ValueCountFrequency (%) 
01596268.1%
 
77318928.1%
 
73H8113.5%
 
33H7323.1%
 
3256983.0%
 
33L5482.3%
 
3205262.2%
 
33E5052.2%
 
73E2701.2%
 
73L2170.9%
 
Other values (19)12715.4%
 
2021-02-23T13:05:37.530518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%
Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18224 
773
 
1545
33H
 
487
320
 
470
33E
 
452
Other values (23)
2254 
ValueCountFrequency (%) 
01822477.8%
 
77315456.6%
 
33H4872.1%
 
3204702.0%
 
33E4521.9%
 
3254061.7%
 
73H2090.9%
 
73E2040.9%
 
3232030.9%
 
33L2000.9%
 
Other values (18)10324.4%
 
2021-02-23T13:05:37.644519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20187 
773
 
1448
33H
 
269
33E
 
265
325
 
203
Other values (22)
 
1060
ValueCountFrequency (%) 
02018786.2%
 
77314486.2%
 
33H2691.1%
 
33E2651.1%
 
3252030.9%
 
3201910.8%
 
73H1090.5%
 
73E970.4%
 
33L910.4%
 
333770.3%
 
Other values (17)4952.1%
 
2021-02-23T13:05:37.755518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20851 
773
 
1430
33H
 
221
33E
 
148
320
 
147
Other values (23)
 
635
ValueCountFrequency (%) 
02085189.0%
 
77314306.1%
 
33H2210.9%
 
33E1480.6%
 
3201470.6%
 
3251060.5%
 
73H750.3%
 
33L590.3%
 
321510.2%
 
73E510.2%
 
Other values (18)2931.3%
 
2021-02-23T13:05:37.862517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%
Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
773
6900 
33H
 
1010
320
 
267
33E
 
201
Other values (21)
 
878
ValueCountFrequency (%) 
01417660.5%
 
773690029.4%
 
33H10104.3%
 
3202671.1%
 
33E2010.9%
 
73H1920.8%
 
3251540.7%
 
359910.4%
 
33L860.4%
 
73E640.3%
 
Other values (16)2911.2%
 
2021-02-23T13:05:37.968518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
773
2303 
73H
 
1193
325
 
957
33H
 
800
Other values (24)
4003 
ValueCountFrequency (%) 
01417660.5%
 
77323039.8%
 
73H11935.1%
 
3259574.1%
 
33H8003.4%
 
3207043.0%
 
33E6402.7%
 
33L6122.6%
 
73E3151.3%
 
7382361.0%
 
Other values (19)14966.4%
 
2021-02-23T13:05:38.080518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct30
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17013 
773
1806 
320
 
614
33E
 
553
33H
 
540
Other values (25)
2906 
ValueCountFrequency (%) 
01701372.6%
 
77318067.7%
 
3206142.6%
 
33E5532.4%
 
33H5402.3%
 
3254902.1%
 
73H3261.4%
 
73E2761.2%
 
3232611.1%
 
33L2541.1%
 
Other values (20)12995.5%
 
2021-02-23T13:05:38.197519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19455 
773
 
1688
33E
 
305
33H
 
286
325
 
278
Other values (23)
 
1420
ValueCountFrequency (%) 
01945583.0%
 
77316887.2%
 
33E3051.3%
 
33H2861.2%
 
3252781.2%
 
3202531.1%
 
73E1490.6%
 
73H1430.6%
 
33L1270.5%
 
3231000.4%
 
Other values (18)6482.8%
 
2021-02-23T13:05:38.308519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct27
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20312 
773
 
1659
33H
 
224
320
 
201
33E
 
173
Other values (22)
 
863
ValueCountFrequency (%) 
02031286.7%
 
77316597.1%
 
33H2241.0%
 
3202010.9%
 
33E1730.7%
 
3251330.6%
 
73H1020.4%
 
33L840.4%
 
738600.3%
 
323590.3%
 
Other values (17)4251.8%
 
2021-02-23T13:05:38.421519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23381 
1
 
37
2
 
13
5
 
1
ValueCountFrequency (%) 
02338199.8%
 
1370.2%
 
2130.1%
 
51< 0.1%
 
2021-02-23T13:05:38.522516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23364 
1
 
61
2
 
6
4
 
1
ValueCountFrequency (%) 
02336499.7%
 
1610.3%
 
26< 0.1%
 
41< 0.1%
 
2021-02-23T13:05:38.608516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23269 
1
 
132
2
 
25
3
 
6
ValueCountFrequency (%) 
02326999.3%
 
11320.6%
 
2250.1%
 
36< 0.1%
 
2021-02-23T13:05:38.690519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pref_orig_m3_1
Categorical

HIGH CARDINALITY

Distinct63
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
PVG
 
354
SYD
 
117
SHA
 
72
JFK
 
51
Other values (58)
 
180
ValueCountFrequency (%) 
02265896.7%
 
PVG3541.5%
 
SYD1170.5%
 
SHA720.3%
 
JFK510.2%
 
LAX240.1%
 
PEK160.1%
 
TSA11< 0.1%
 
TAO10< 0.1%
 
XIY10< 0.1%
 
Other values (53)1090.5%
 
2021-02-23T13:05:38.793519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_orig_m3_2
Categorical

HIGH CARDINALITY

Distinct84
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
PVG
 
190
SYD
 
130
JFK
 
101
LAX
 
58
Other values (79)
 
295
ValueCountFrequency (%) 
02265896.7%
 
PVG1900.8%
 
SYD1300.6%
 
JFK1010.4%
 
LAX580.2%
 
SHA390.2%
 
PEK270.1%
 
ICN170.1%
 
CKG11< 0.1%
 
BKK10< 0.1%
 
Other values (74)1910.8%
 
2021-02-23T13:05:38.916518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28 ?
Unique (%)0.1%

pref_orig_m3_3
Categorical

HIGH CARDINALITY

Distinct68
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22893 
PVG
 
141
SYD
 
79
JFK
 
60
KIX
 
34
Other values (63)
 
225
ValueCountFrequency (%) 
02289397.7%
 
PVG1410.6%
 
SYD790.3%
 
JFK600.3%
 
KIX340.1%
 
LAX320.1%
 
SHA210.1%
 
PEK170.1%
 
ICN8< 0.1%
 
HKG7< 0.1%
 
Other values (58)1400.6%
 
2021-02-23T13:05:39.044519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_orig_m3_4
Categorical

HIGH CARDINALITY

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22998 
PVG
 
124
SYD
 
75
JFK
 
54
LAX
 
30
Other values (51)
 
151
ValueCountFrequency (%) 
02299898.1%
 
PVG1240.5%
 
SYD750.3%
 
JFK540.2%
 
LAX300.1%
 
CDG290.1%
 
SHA150.1%
 
PEK120.1%
 
SZX6< 0.1%
 
KIX5< 0.1%
 
Other values (46)840.4%
 
2021-02-23T13:05:39.165519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_m3_5
Categorical

HIGH CARDINALITY

Distinct51
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23057 
PVG
 
123
SYD
 
75
JFK
 
50
LAX
 
25
Other values (46)
 
102
ValueCountFrequency (%) 
02305798.4%
 
PVG1230.5%
 
SYD750.3%
 
JFK500.2%
 
LAX250.1%
 
SHA150.1%
 
PEK120.1%
 
KWE5< 0.1%
 
CAN5< 0.1%
 
KHN4< 0.1%
 
Other values (41)610.3%
 
2021-02-23T13:05:39.282519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28 ?
Unique (%)0.1%

pref_orig_m6_1
Categorical

HIGH CARDINALITY

Distinct73
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22164 
PVG
 
574
SYD
 
205
SHA
 
99
JFK
 
96
Other values (68)
 
294
ValueCountFrequency (%) 
02216494.6%
 
PVG5742.4%
 
SYD2050.9%
 
SHA990.4%
 
JFK960.4%
 
LAX290.1%
 
PEK240.1%
 
TSA170.1%
 
WUH160.1%
 
SZX150.1%
 
Other values (63)1930.8%
 
2021-02-23T13:05:39.403519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique30 ?
Unique (%)0.1%

pref_orig_m6_2
Categorical

HIGH CARDINALITY

Distinct100
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22164 
PVG
 
332
JFK
 
187
SYD
 
182
LAX
 
98
Other values (95)
 
469
ValueCountFrequency (%) 
02216494.6%
 
PVG3321.4%
 
JFK1870.8%
 
SYD1820.8%
 
LAX980.4%
 
SHA630.3%
 
PEK520.2%
 
ICN240.1%
 
KMG210.1%
 
BKK150.1%
 
Other values (90)2941.3%
 
2021-02-23T13:05:39.523519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique31 ?
Unique (%)0.1%

pref_orig_m6_3
Categorical

HIGH CARDINALITY

Distinct89
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22576 
PVG
 
191
JFK
 
123
SYD
 
106
LAX
 
53
Other values (84)
 
383
ValueCountFrequency (%) 
02257696.3%
 
PVG1910.8%
 
JFK1230.5%
 
SYD1060.5%
 
LAX530.2%
 
KIX350.1%
 
SHA340.1%
 
PEK340.1%
 
KMG130.1%
 
XIY120.1%
 
Other values (79)2551.1%
 
2021-02-23T13:05:39.645519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_orig_m6_4
Categorical

HIGH CARDINALITY

Distinct80
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22771 
PVG
 
164
JFK
 
106
SYD
 
100
LAX
 
32
Other values (75)
 
259
ValueCountFrequency (%) 
02277197.2%
 
PVG1640.7%
 
JFK1060.5%
 
SYD1000.4%
 
LAX320.1%
 
CNX290.1%
 
PEK210.1%
 
SHA210.1%
 
KMG130.1%
 
ICN11< 0.1%
 
Other values (70)1640.7%
 
2021-02-23T13:05:39.770516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique32 ?
Unique (%)0.1%

pref_orig_m6_5
Categorical

HIGH CARDINALITY

Distinct67
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22850 
PVG
 
159
SYD
 
97
JFK
 
93
LAX
 
30
Other values (62)
 
203
ValueCountFrequency (%) 
02285097.5%
 
PVG1590.7%
 
SYD970.4%
 
JFK930.4%
 
LAX300.1%
 
CDG290.1%
 
PEK210.1%
 
SHA150.1%
 
WUH8< 0.1%
 
KMG7< 0.1%
 
Other values (57)1230.5%
 
2021-02-23T13:05:39.895516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_orig_y1_1
Categorical

HIGH CARDINALITY

Distinct80
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20870 
PVG
 
1444
SYD
 
428
SHA
 
130
JFK
 
101
Other values (75)
 
459
ValueCountFrequency (%) 
02087089.1%
 
PVG14446.2%
 
SYD4281.8%
 
SHA1300.6%
 
JFK1010.4%
 
PEK370.2%
 
LAX330.1%
 
TSA270.1%
 
TAO270.1%
 
XIY230.1%
 
Other values (70)3121.3%
 
2021-02-23T13:05:40.022519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_orig_y1_2
Categorical

HIGH CARDINALITY

Distinct116
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20870 
PVG
 
648
JFK
 
412
SYD
 
309
LAX
 
239
Other values (111)
 
954
ValueCountFrequency (%) 
02087089.1%
 
PVG6482.8%
 
JFK4121.8%
 
SYD3091.3%
 
LAX2391.0%
 
SHA1020.4%
 
ICN650.3%
 
PEK590.3%
 
MNL370.2%
 
KMG310.1%
 
Other values (106)6602.8%
 
2021-02-23T13:05:40.298519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_y1_3
Categorical

HIGH CARDINALITY

Distinct118
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21808 
PVG
 
283
JFK
 
224
SYD
 
161
LAX
 
140
Other values (113)
 
816
ValueCountFrequency (%) 
02180893.1%
 
PVG2831.2%
 
JFK2241.0%
 
SYD1610.7%
 
LAX1400.6%
 
PEK740.3%
 
SHA740.3%
 
CDG520.2%
 
BKK360.2%
 
HKG270.1%
 
Other values (108)5532.4%
 
2021-02-23T13:05:40.420518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique33 ?
Unique (%)0.1%

pref_orig_y1_4
Categorical

HIGH CARDINALITY

Distinct94
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22424 
PVG
 
221
SYD
 
120
JFK
 
100
LAX
 
60
Other values (89)
 
507
ValueCountFrequency (%) 
02242495.7%
 
PVG2210.9%
 
SYD1200.5%
 
JFK1000.4%
 
LAX600.3%
 
SHA450.2%
 
PEK310.1%
 
MLE290.1%
 
HKG220.1%
 
ICN220.1%
 
Other values (84)3581.5%
 
2021-02-23T13:05:40.539519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.1%

pref_orig_y1_5
Categorical

HIGH CARDINALITY

Distinct87
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22593 
PVG
 
204
SYD
 
117
JFK
 
86
KIX
 
35
Other values (82)
 
397
ValueCountFrequency (%) 
02259396.4%
 
PVG2040.9%
 
SYD1170.5%
 
JFK860.4%
 
KIX350.1%
 
LAX310.1%
 
PEK300.1%
 
SHA220.1%
 
KMG160.1%
 
SZX140.1%
 
Other values (77)2841.2%
 
2021-02-23T13:05:40.659516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.1%

pref_orig_y2_1
Categorical

HIGH CARDINALITY

Distinct79
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17007 
PVG
4653 
SYD
 
849
SHA
 
195
JFK
 
162
Other values (74)
 
566
ValueCountFrequency (%) 
01700772.6%
 
PVG465319.9%
 
SYD8493.6%
 
SHA1950.8%
 
JFK1620.7%
 
LAX690.3%
 
XIY410.2%
 
WUH390.2%
 
TSA340.1%
 
TAO300.1%
 
Other values (69)3531.5%
 
2021-02-23T13:05:40.792515image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)0.1%

pref_orig_y2_2
Categorical

HIGH CARDINALITY

Distinct131
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17007 
JFK
 
1451
PVG
 
1243
LAX
 
1163
SYD
 
775
Other values (126)
1793 
ValueCountFrequency (%) 
01700772.6%
 
JFK14516.2%
 
PVG12435.3%
 
LAX11635.0%
 
SYD7753.3%
 
SHA1740.7%
 
SIN1000.4%
 
MNL930.4%
 
PEK910.4%
 
PUS610.3%
 
Other values (121)12745.4%
 
2021-02-23T13:05:40.933516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique31 ?
Unique (%)0.1%

pref_orig_y2_3
Categorical

HIGH CARDINALITY

Distinct134
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19138 
JFK
 
650
LAX
 
540
ICN
 
336
PVG
 
327
Other values (129)
2441 
ValueCountFrequency (%) 
01913881.7%
 
JFK6502.8%
 
LAX5402.3%
 
ICN3361.4%
 
PVG3271.4%
 
BKK3051.3%
 
SYD2080.9%
 
SHA1630.7%
 
PEK1220.5%
 
HKG910.4%
 
Other values (124)15526.6%
 
2021-02-23T13:05:41.078516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique20 ?
Unique (%)0.1%

pref_orig_y2_4
Categorical

HIGH CARDINALITY

Distinct120
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21866 
PVG
 
192
JFK
 
188
LAX
 
126
SHA
 
114
Other values (115)
 
946
ValueCountFrequency (%) 
02186693.3%
 
PVG1920.8%
 
JFK1880.8%
 
LAX1260.5%
 
SHA1140.5%
 
SYD1000.4%
 
PEK750.3%
 
ICN460.2%
 
HKG410.2%
 
KMG360.2%
 
Other values (110)6482.8%
 
2021-02-23T13:05:41.207517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_orig_y2_5
Categorical

HIGH CARDINALITY

Distinct102
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22423 
PVG
 
163
JFK
 
117
SYD
 
78
LAX
 
66
Other values (97)
 
585
ValueCountFrequency (%) 
02242395.7%
 
PVG1630.7%
 
JFK1170.5%
 
SYD780.3%
 
LAX660.3%
 
PEK460.2%
 
SIN410.2%
 
SHA380.2%
 
HKG290.1%
 
KMG230.1%
 
Other values (92)4081.7%
 
2021-02-23T13:05:41.330516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_orig_y3_1
Categorical

HIGH CARDINALITY

Distinct73
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15619 
PVG
5974 
SYD
 
883
SHA
 
211
JFK
 
191
Other values (68)
 
554
ValueCountFrequency (%) 
01561966.7%
 
PVG597425.5%
 
SYD8833.8%
 
SHA2110.9%
 
JFK1910.8%
 
LAX720.3%
 
WUH380.2%
 
XIY350.1%
 
TSA350.1%
 
TPE320.1%
 
Other values (63)3421.5%
 
2021-02-23T13:05:41.463516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique21 ?
Unique (%)0.1%

pref_orig_y3_2
Categorical

HIGH CARDINALITY

Distinct130
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15619 
JFK
1771 
LAX
 
1545
PVG
 
1325
SYD
 
822
Other values (125)
2350 
ValueCountFrequency (%) 
01561966.7%
 
JFK17717.6%
 
LAX15456.6%
 
PVG13255.7%
 
SYD8223.5%
 
SHA1910.8%
 
SIN1580.7%
 
MNL1500.6%
 
PEK1200.5%
 
BKK910.4%
 
Other values (120)16407.0%
 
2021-02-23T13:05:41.600519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_y3_3
Categorical

HIGH CARDINALITY

Distinct141
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18050 
JFK
 
810
LAX
 
756
BKK
 
422
ICN
 
396
Other values (136)
2998 
ValueCountFrequency (%) 
01805077.0%
 
JFK8103.5%
 
LAX7563.2%
 
BKK4221.8%
 
ICN3961.7%
 
PVG3091.3%
 
SHA2311.0%
 
SYD2040.9%
 
PEK1350.6%
 
HKG1200.5%
 
Other values (131)19998.5%
 
2021-02-23T13:05:41.736516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)0.1%

pref_orig_y3_4
Categorical

HIGH CARDINALITY

Distinct132
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21527 
JFK
 
245
LAX
 
164
PVG
 
145
SHA
 
140
Other values (127)
 
1211
ValueCountFrequency (%) 
02152791.9%
 
JFK2451.0%
 
LAX1640.7%
 
PVG1450.6%
 
SHA1400.6%
 
PEK1100.5%
 
SYD780.3%
 
HKG630.3%
 
KMG580.2%
 
ICN530.2%
 
Other values (122)8493.6%
 
2021-02-23T13:05:41.863518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_y3_5
Categorical

HIGH CARDINALITY

Distinct108
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22323 
JFK
 
130
PVG
 
115
LAX
 
72
PEK
 
59
Other values (103)
 
733
ValueCountFrequency (%) 
02232395.3%
 
JFK1300.6%
 
PVG1150.5%
 
LAX720.3%
 
PEK590.3%
 
SYD560.2%
 
SHA560.2%
 
HKG390.2%
 
KMG360.2%
 
YVR300.1%
 
Other values (98)5162.2%
 
2021-02-23T13:05:41.990518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_line_m3_1
Categorical

HIGH CARDINALITY

Distinct176
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
SYD-PVG
 
158
PVG-SYD
 
70
JFK-PVG
 
62
PVG-JFK
 
55
Other values (171)
 
429
ValueCountFrequency (%) 
02265896.7%
 
SYD-PVG1580.7%
 
PVG-SYD700.3%
 
JFK-PVG620.3%
 
PVG-JFK550.2%
 
PVG-LAX340.1%
 
LAX-PVG340.1%
 
SHA-PEK170.1%
 
PVG-BKK160.1%
 
PVG-ICN140.1%
 
Other values (166)3141.3%
 
2021-02-23T13:05:42.115516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique93 ?
Unique (%)0.4%

pref_line_m3_2
Categorical

HIGH CARDINALITY

Distinct195
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
PVG-JFK
 
90
PVG-SYD
 
90
SYD-PVG
 
63
PVG-LAX
 
49
Other values (190)
 
482
ValueCountFrequency (%) 
02265896.7%
 
PVG-JFK900.4%
 
PVG-SYD900.4%
 
SYD-PVG630.3%
 
PVG-LAX490.2%
 
JFK-PVG360.2%
 
KIX-PVG350.1%
 
LAX-PVG290.1%
 
PEK-SHA160.1%
 
SHA-PEK140.1%
 
Other values (185)3521.5%
 
2021-02-23T13:05:42.240519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique109 ?
Unique (%)0.5%

pref_line_m3_3
Categorical

HIGH CARDINALITY

Distinct155
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22872 
PVG-SYD
 
79
SYD-PVG
 
62
PVG-JFK
 
57
CDG-PVG
 
30
Other values (150)
 
332
ValueCountFrequency (%) 
02287297.6%
 
PVG-SYD790.3%
 
SYD-PVG620.3%
 
PVG-JFK570.2%
 
CDG-PVG300.1%
 
PVG-LAX290.1%
 
JFK-PVG280.1%
 
LAX-PVG120.1%
 
SHA-PEK10< 0.1%
 
PVG-CKG10< 0.1%
 
Other values (145)2431.0%
 
2021-02-23T13:05:42.365519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique92 ?
Unique (%)0.4%

pref_line_m3_4
Categorical

HIGH CARDINALITY

Distinct140
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22941 
PVG-SYD
 
68
SYD-PVG
 
62
PVG-JFK
 
61
PVG-KIX
 
31
Other values (135)
 
269
ValueCountFrequency (%) 
02294197.9%
 
PVG-SYD680.3%
 
SYD-PVG620.3%
 
PVG-JFK610.3%
 
PVG-KIX310.1%
 
PVG-LAX250.1%
 
JFK-PVG230.1%
 
PEK-SHA11< 0.1%
 
SHA-PEK10< 0.1%
 
LAX-PVG10< 0.1%
 
Other values (130)1900.8%
 
2021-02-23T13:05:42.490519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique94 ?
Unique (%)0.4%

pref_line_m3_5
Categorical

HIGH CARDINALITY

Distinct108
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23010 
PVG-SYD
 
92
SYD-PVG
 
62
PVG-JFK
 
52
JFK-PVG
 
23
Other values (103)
 
193
ValueCountFrequency (%) 
02301098.2%
 
PVG-SYD920.4%
 
SYD-PVG620.3%
 
PVG-JFK520.2%
 
JFK-PVG230.1%
 
PVG-LAX230.1%
 
LAX-PVG130.1%
 
SHA-PEK8< 0.1%
 
PEK-SHA8< 0.1%
 
KMG-SYD5< 0.1%
 
Other values (98)1360.6%
 
2021-02-23T13:05:42.611519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique73 ?
Unique (%)0.3%

pref_line_m6_1
Categorical

HIGH CARDINALITY

Distinct219
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22164 
SYD-PVG
 
229
JFK-PVG
 
135
PVG-JFK
 
111
PVG-SYD
 
107
Other values (214)
 
686
ValueCountFrequency (%) 
02216494.6%
 
SYD-PVG2291.0%
 
JFK-PVG1350.6%
 
PVG-JFK1110.5%
 
PVG-SYD1070.5%
 
LAX-PVG720.3%
 
PVG-LAX510.2%
 
SHA-PEK240.1%
 
PVG-BKK220.1%
 
PVG-ICN200.1%
 
Other values (209)4972.1%
 
2021-02-23T13:05:42.729520image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique105 ?
Unique (%)0.4%

pref_line_m6_2
Categorical

HIGH CARDINALITY

Distinct269
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22164 
PVG-SYD
 
181
PVG-JFK
 
162
PVG-LAX
 
90
JFK-PVG
 
88
Other values (264)
 
747
ValueCountFrequency (%) 
02216494.6%
 
PVG-SYD1810.8%
 
PVG-JFK1620.7%
 
PVG-LAX900.4%
 
JFK-PVG880.4%
 
SYD-PVG760.3%
 
LAX-PVG330.1%
 
BKK-PVG200.1%
 
PVG-ICN190.1%
 
SHA-PEK190.1%
 
Other values (259)5802.5%
 
2021-02-23T13:05:42.853517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique132 ?
Unique (%)0.6%

pref_line_m6_3
Categorical

HIGH CARDINALITY

Distinct224
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22546 
PVG-JFK
 
115
PVG-SYD
 
114
SYD-PVG
 
67
JFK-PVG
 
53
Other values (219)
 
537
ValueCountFrequency (%) 
02254696.2%
 
PVG-JFK1150.5%
 
PVG-SYD1140.5%
 
SYD-PVG670.3%
 
JFK-PVG530.2%
 
PVG-LAX380.2%
 
CNX-PVG300.1%
 
LAX-PVG180.1%
 
SHA-PEK10< 0.1%
 
XIY-PVG10< 0.1%
 
Other values (214)4311.8%
 
2021-02-23T13:05:42.978516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique115 ?
Unique (%)0.5%

pref_line_m6_4
Categorical

HIGH CARDINALITY

Distinct198
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22661 
PVG-JFK
 
115
PVG-SYD
 
99
SYD-PVG
 
67
JFK-PVG
 
42
Other values (193)
 
448
ValueCountFrequency (%) 
02266196.7%
 
PVG-JFK1150.5%
 
PVG-SYD990.4%
 
SYD-PVG670.3%
 
JFK-PVG420.2%
 
KIX-PVG390.2%
 
PVG-LAX300.1%
 
PEK-SHA120.1%
 
ICN-PVG11< 0.1%
 
SHA-PEK10< 0.1%
 
Other values (188)3461.5%
 
2021-02-23T13:05:43.102518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique105 ?
Unique (%)0.4%

pref_line_m6_5
Categorical

HIGH CARDINALITY

Distinct161
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22803 
PVG-JFK
 
97
PVG-SYD
 
85
SYD-PVG
 
67
JFK-PVG
 
42
Other values (156)
 
338
ValueCountFrequency (%) 
02280397.3%
 
PVG-JFK970.4%
 
PVG-SYD850.4%
 
SYD-PVG670.3%
 
JFK-PVG420.2%
 
CDG-PVG300.1%
 
PVG-LAX250.1%
 
ICN-PVG11< 0.1%
 
SHA-PEK9< 0.1%
 
PVG-TSA8< 0.1%
 
Other values (151)2551.1%
 
2021-02-23T13:05:43.240518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique91 ?
Unique (%)0.4%

pref_line_y1_1
Categorical

HIGH CARDINALITY

Distinct282
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20870 
SYD-PVG
 
477
JFK-PVG
 
425
LAX-PVG
 
245
PVG-SYD
 
187
Other values (277)
 
1228
ValueCountFrequency (%) 
02087089.1%
 
SYD-PVG4772.0%
 
JFK-PVG4251.8%
 
LAX-PVG2451.0%
 
PVG-SYD1870.8%
 
PVG-JFK1430.6%
 
PVG-LAX760.3%
 
PVG-BKK530.2%
 
PVG-ICN510.2%
 
SIN-PVG370.2%
 
Other values (272)8683.7%
 
2021-02-23T13:05:43.370517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique132 ?
Unique (%)0.6%

pref_line_y1_2
Categorical

HIGH CARDINALITY

Distinct334
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20870 
PVG-SYD
 
356
PVG-JFK
 
334
PVG-LAX
 
218
JFK-PVG
 
206
Other values (329)
 
1448
ValueCountFrequency (%) 
02087089.1%
 
PVG-SYD3561.5%
 
PVG-JFK3341.4%
 
PVG-LAX2180.9%
 
JFK-PVG2060.9%
 
LAX-PVG1420.6%
 
SYD-PVG1250.5%
 
PVG-ICN380.2%
 
PVG-HKG310.1%
 
PEK-SHA280.1%
 
Other values (324)10844.6%
 
2021-02-23T13:05:43.490519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique129 ?
Unique (%)0.6%

pref_line_y1_3
Categorical

HIGH CARDINALITY

Distinct306
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21751 
PVG-SYD
 
179
PVG-JFK
 
176
PVG-LAX
 
129
JFK-PVG
 
108
Other values (301)
 
1089
ValueCountFrequency (%) 
02175192.8%
 
PVG-SYD1790.8%
 
PVG-JFK1760.8%
 
PVG-LAX1290.6%
 
JFK-PVG1080.5%
 
SYD-PVG790.3%
 
LAX-PVG380.2%
 
CDG-PVG300.1%
 
PVG-TSN210.1%
 
WNZ-PVG190.1%
 
Other values (296)9023.8%
 
2021-02-23T13:05:43.832515image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique133 ?
Unique (%)0.6%

pref_line_y1_4
Categorical

HIGH CARDINALITY

Distinct288
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21961 
PVG-JFK
 
164
PVG-SYD
 
157
JFK-PVG
 
89
SYD-PVG
 
75
Other values (283)
 
986
ValueCountFrequency (%) 
02196193.7%
 
PVG-JFK1640.7%
 
PVG-SYD1570.7%
 
JFK-PVG890.4%
 
SYD-PVG750.3%
 
PVG-CDG430.2%
 
PVG-LAX360.2%
 
LAX-PVG300.1%
 
BKK-PVG300.1%
 
ICN-PVG280.1%
 
Other values (278)8193.5%
 
2021-02-23T13:05:43.953519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique131 ?
Unique (%)0.6%

pref_line_y1_5
Categorical

HIGH CARDINALITY

Distinct242
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22470 
PVG-SYD
 
119
PVG-JFK
 
92
JFK-PVG
 
72
SYD-PVG
 
70
Other values (237)
 
609
ValueCountFrequency (%) 
02247095.9%
 
PVG-SYD1190.5%
 
PVG-JFK920.4%
 
JFK-PVG720.3%
 
SYD-PVG700.3%
 
PVG-LAX350.1%
 
CNX-PVG300.1%
 
LAX-PVG190.1%
 
SHA-PEK140.1%
 
PVG-CDG120.1%
 
Other values (232)4992.1%
 
2021-02-23T13:05:44.075518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique126 ?
Unique (%)0.5%

pref_line_y2_1
Categorical

HIGH CARDINALITY

Distinct322
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17007 
JFK-PVG
 
1214
SYD-PVG
 
1182
LAX-PVG
 
764
PVG-BKK
 
318
Other values (317)
2947 
ValueCountFrequency (%) 
01700772.6%
 
JFK-PVG12145.2%
 
SYD-PVG11825.0%
 
LAX-PVG7643.3%
 
PVG-BKK3181.4%
 
PVG-JFK3071.3%
 
PVG-LAX3021.3%
 
PVG-SYD3001.3%
 
PVG-ICN2971.3%
 
SIN-PVG1170.5%
 
Other values (312)16246.9%
 
2021-02-23T13:05:44.199519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique138 ?
Unique (%)0.6%

pref_line_y2_2
Categorical

HIGH CARDINALITY

Distinct377
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17007 
PVG-JFK
 
945
PVG-SYD
 
757
PVG-LAX
 
744
JFK-PVG
 
737
Other values (372)
3242 
ValueCountFrequency (%) 
01700772.6%
 
PVG-JFK9454.0%
 
PVG-SYD7573.2%
 
PVG-LAX7443.2%
 
JFK-PVG7373.1%
 
LAX-PVG7083.0%
 
SYD-PVG2231.0%
 
PVG-ICN1000.4%
 
BKK-PVG960.4%
 
ICN-PVG530.2%
 
Other values (367)20628.8%
 
2021-02-23T13:05:44.335518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique134 ?
Unique (%)0.6%

pref_line_y2_3
Categorical

HIGH CARDINALITY

Distinct411
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19001 
PVG-LAX
 
695
PVG-JFK
 
641
PVG-SYD
 
394
LAX-PVG
 
138
Other values (406)
2563 
ValueCountFrequency (%) 
01900181.1%
 
PVG-LAX6953.0%
 
PVG-JFK6412.7%
 
PVG-SYD3941.7%
 
LAX-PVG1380.6%
 
JFK-PVG1320.6%
 
SYD-PVG770.3%
 
PVG-KUL700.3%
 
HKG-PVG500.2%
 
PVG-SHE500.2%
 
Other values (401)21849.3%
 
2021-02-23T13:05:44.475516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique150 ?
Unique (%)0.6%

pref_line_y2_4
Categorical

HIGH CARDINALITY

Distinct390
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
19448 
PVG-JFK
 
491
ICN-PVG
 
340
PVG-SYD
 
328
BKK-PVG
 
286
Other values (385)
2539 
ValueCountFrequency (%) 
01944883.0%
 
PVG-JFK4912.1%
 
ICN-PVG3401.5%
 
PVG-SYD3281.4%
 
BKK-PVG2861.2%
 
PVG-LAX1290.6%
 
JFK-PVG850.4%
 
LAX-PVG810.3%
 
HKT-PVG780.3%
 
NRT-PVG740.3%
 
Other values (380)20928.9%
 
2021-02-23T13:05:44.622516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique151 ?
Unique (%)0.6%

pref_line_y2_5
Categorical

HIGH CARDINALITY

Distinct348
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22004 
PVG-JFK
 
131
PVG-SYD
 
113
PVG-LAX
 
83
JFK-PVG
 
56
Other values (343)
 
1045
ValueCountFrequency (%) 
02200493.9%
 
PVG-JFK1310.6%
 
PVG-SYD1130.5%
 
PVG-LAX830.4%
 
JFK-PVG560.2%
 
LAX-PVG430.2%
 
SYD-PVG420.2%
 
PVG-CDG340.1%
 
PVG-HKG240.1%
 
BKK-PVG220.1%
 
Other values (338)8803.8%
 
2021-02-23T13:05:44.756516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique164 ?
Unique (%)0.7%

pref_line_y3_1
Categorical

HIGH CARDINALITY

Distinct312
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15619 
JFK-PVG
 
1539
SYD-PVG
 
1231
LAX-PVG
 
1078
PVG-BKK
 
484
Other values (307)
3481 
ValueCountFrequency (%) 
01561966.7%
 
JFK-PVG15396.6%
 
SYD-PVG12315.3%
 
LAX-PVG10784.6%
 
PVG-BKK4842.1%
 
PVG-ICN3781.6%
 
PVG-LAX3411.5%
 
PVG-SYD3381.4%
 
PVG-JFK3291.4%
 
SIN-PVG1790.8%
 
Other values (302)19168.2%
 
2021-02-23T13:05:44.891516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique114 ?
Unique (%)0.5%

pref_line_y3_2
Categorical

HIGH CARDINALITY

Distinct379
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15619 
PVG-JFK
 
1131
PVG-LAX
 
1028
LAX-PVG
 
1014
JFK-PVG
 
929
Other values (374)
3711 
ValueCountFrequency (%) 
01561966.7%
 
PVG-JFK11314.8%
 
PVG-LAX10284.4%
 
LAX-PVG10144.3%
 
JFK-PVG9294.0%
 
PVG-SYD7803.3%
 
SYD-PVG2831.2%
 
PVG-ICN1100.5%
 
BKK-PVG920.4%
 
PVG-HKG740.3%
 
Other values (369)237210.1%
 
2021-02-23T13:05:45.046517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique145 ?
Unique (%)0.6%

pref_line_y3_3
Categorical

HIGH CARDINALITY

Distinct442
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17768 
PVG-LAX
 
937
PVG-JFK
 
805
PVG-SYD
 
383
LAX-PVG
 
170
Other values (437)
3369 
ValueCountFrequency (%) 
01776875.8%
 
PVG-LAX9374.0%
 
PVG-JFK8053.4%
 
PVG-SYD3831.6%
 
LAX-PVG1700.7%
 
JFK-PVG1430.6%
 
SYD-PVG880.4%
 
HKG-PVG830.4%
 
PVG-KUL810.3%
 
MNL-PVG690.3%
 
Other values (432)290512.4%
 
2021-02-23T13:05:45.190519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique156 ?
Unique (%)0.7%

pref_line_y3_4
Categorical

HIGH CARDINALITY

Distinct435
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18457 
PVG-JFK
 
624
ICN-PVG
 
401
BKK-PVG
 
395
PVG-SYD
 
324
Other values (430)
3231 
ValueCountFrequency (%) 
01845778.8%
 
PVG-JFK6242.7%
 
ICN-PVG4011.7%
 
BKK-PVG3951.7%
 
PVG-SYD3241.4%
 
PVG-LAX1910.8%
 
PVG-SIN1160.5%
 
HKT-PVG970.4%
 
JFK-PVG920.4%
 
LAX-PVG910.4%
 
Other values (425)264411.3%
 
2021-02-23T13:05:45.321518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique164 ?
Unique (%)0.7%

pref_line_y3_5
Categorical

HIGH CARDINALITY

Distinct394
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21679 
PVG-JFK
 
154
PVG-LAX
 
101
PVG-SYD
 
99
LAX-PVG
 
79
Other values (389)
 
1320
ValueCountFrequency (%) 
02167992.5%
 
PVG-JFK1540.7%
 
PVG-LAX1010.4%
 
PVG-SYD990.4%
 
LAX-PVG790.3%
 
JFK-PVG370.2%
 
SYD-PVG330.1%
 
BKK-PVG260.1%
 
PVG-SIN230.1%
 
HKG-PVG220.1%
 
Other values (384)11795.0%
 
2021-02-23T13:05:45.461519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique170 ?
Unique (%)0.7%

pref_city_m3_1
Categorical

HIGH CARDINALITY

Distinct61
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22495 
PVG
 
451
SYD
 
149
SHA
 
66
JFK
 
49
Other values (56)
 
222
ValueCountFrequency (%) 
02249596.0%
 
PVG4511.9%
 
SYD1490.6%
 
SHA660.3%
 
JFK490.2%
 
LAX270.1%
 
TSA120.1%
 
SZX11< 0.1%
 
WUH11< 0.1%
 
NKG11< 0.1%
 
Other values (51)1500.6%
 
2021-02-23T13:05:45.583534image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18 ?
Unique (%)0.1%

pref_city_m3_2
Categorical

HIGH CARDINALITY

Distinct84
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22495 
PVG
 
287
JFK
 
126
SYD
 
121
LAX
 
75
Other values (79)
 
328
ValueCountFrequency (%) 
02249596.0%
 
PVG2871.2%
 
JFK1260.5%
 
SYD1210.5%
 
LAX750.3%
 
SHA370.2%
 
PEK160.1%
 
SIN160.1%
 
KMG160.1%
 
ICN140.1%
 
Other values (74)2291.0%
 
2021-02-23T13:05:45.707517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18 ?
Unique (%)0.1%

pref_city_m3_3
Categorical

HIGH CARDINALITY

Distinct68
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22804 
PVG
 
210
SYD
 
84
JFK
 
58
LAX
 
37
Other values (63)
 
239
ValueCountFrequency (%) 
02280497.3%
 
PVG2100.9%
 
SYD840.4%
 
JFK580.2%
 
LAX370.2%
 
SHA250.1%
 
ICN130.1%
 
PEK130.1%
 
CTU11< 0.1%
 
KMG11< 0.1%
 
Other values (58)1660.7%
 
2021-02-23T13:05:45.831516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_city_m3_4
Categorical

HIGH CARDINALITY

Distinct56
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22927 
PVG
 
189
SYD
 
78
JFK
 
52
LAX
 
30
Other values (51)
 
156
ValueCountFrequency (%) 
02292797.8%
 
PVG1890.8%
 
SYD780.3%
 
JFK520.2%
 
LAX300.1%
 
SHA150.1%
 
HKG8< 0.1%
 
PEK7< 0.1%
 
NKG7< 0.1%
 
SZX7< 0.1%
 
Other values (46)1120.5%
 
2021-02-23T13:05:45.968518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique16 ?
Unique (%)0.1%

pref_city_m3_5
Categorical

Distinct50
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22969 
PVG
 
189
SYD
 
78
JFK
 
47
LAX
 
27
Other values (45)
 
122
ValueCountFrequency (%) 
02296998.0%
 
PVG1890.8%
 
SYD780.3%
 
JFK470.2%
 
LAX270.1%
 
SHA130.1%
 
NKG8< 0.1%
 
CAN6< 0.1%
 
CTU5< 0.1%
 
ICN4< 0.1%
 
Other values (40)860.4%
 
2021-02-23T13:05:46.089519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique16 ?
Unique (%)0.1%

pref_city_m6_1
Categorical

HIGH CARDINALITY

Distinct76
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
PVG
 
726
SYD
 
279
SHA
 
91
JFK
 
88
Other values (71)
 
366
ValueCountFrequency (%) 
02188293.4%
 
PVG7263.1%
 
SYD2791.2%
 
SHA910.4%
 
JFK880.4%
 
LAX560.2%
 
WUH190.1%
 
XIY180.1%
 
SZX170.1%
 
NKG170.1%
 
Other values (66)2391.0%
 
2021-02-23T13:05:46.214519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.1%

pref_city_m6_2
Categorical

HIGH CARDINALITY

Distinct103
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
PVG
 
473
JFK
 
217
SYD
 
186
LAX
 
140
Other values (98)
 
534
ValueCountFrequency (%) 
02188293.4%
 
PVG4732.0%
 
JFK2170.9%
 
SYD1860.8%
 
LAX1400.6%
 
SHA620.3%
 
PEK310.1%
 
KMG290.1%
 
ICN220.1%
 
NKG220.1%
 
Other values (93)3681.6%
 
2021-02-23T13:05:46.333519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_city_m6_3
Categorical

HIGH CARDINALITY

Distinct89
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22426 
PVG
 
268
JFK
 
133
SYD
 
127
LAX
 
83
Other values (84)
 
395
ValueCountFrequency (%) 
02242695.7%
 
PVG2681.1%
 
JFK1330.6%
 
SYD1270.5%
 
LAX830.4%
 
SHA320.1%
 
PEK250.1%
 
HKG210.1%
 
CAN140.1%
 
KMG140.1%
 
Other values (79)2891.2%
 
2021-02-23T13:05:46.454519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_city_m6_4
Categorical

HIGH CARDINALITY

Distinct74
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22663 
PVG
 
235
SYD
 
112
JFK
 
98
LAX
 
56
Other values (69)
 
268
ValueCountFrequency (%) 
02266396.7%
 
PVG2351.0%
 
SYD1120.5%
 
JFK980.4%
 
LAX560.2%
 
SHA250.1%
 
CAN180.1%
 
KMG140.1%
 
SIN11< 0.1%
 
ICN11< 0.1%
 
Other values (64)1890.8%
 
2021-02-23T13:05:46.575516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_city_m6_5
Categorical

HIGH CARDINALITY

Distinct64
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22753 
PVG
 
229
SYD
 
108
JFK
 
88
LAX
 
54
Other values (59)
 
200
ValueCountFrequency (%) 
02275397.1%
 
PVG2291.0%
 
SYD1080.5%
 
JFK880.4%
 
LAX540.2%
 
SHA270.1%
 
NKG11< 0.1%
 
PEK10< 0.1%
 
CAN8< 0.1%
 
KMG7< 0.1%
 
Other values (54)1370.6%
 
2021-02-23T13:05:46.704516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique19 ?
Unique (%)0.1%

pref_city_y1_1
Categorical

HIGH CARDINALITY

Distinct92
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
PVG
 
1816
SYD
 
509
SHA
 
126
JFK
 
91
Other values (87)
 
563
ValueCountFrequency (%) 
02032786.7%
 
PVG18167.8%
 
SYD5092.2%
 
SHA1260.5%
 
JFK910.4%
 
LAX410.2%
 
TSA400.2%
 
XIY350.1%
 
WUH280.1%
 
TAO240.1%
 
Other values (82)3951.7%
 
2021-02-23T13:05:46.835519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_city_y1_2
Categorical

HIGH CARDINALITY

Distinct123
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
PVG
 
830
JFK
 
512
SYD
 
342
LAX
 
325
Other values (118)
 
1096
ValueCountFrequency (%) 
02032786.7%
 
PVG8303.5%
 
JFK5122.2%
 
SYD3421.5%
 
LAX3251.4%
 
SHA1020.4%
 
ICN780.3%
 
PEK600.3%
 
NKG420.2%
 
KMG410.2%
 
Other values (113)7733.3%
 
2021-02-23T13:05:46.974516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_city_y1_3
Categorical

HIGH CARDINALITY

Distinct119
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21501 
PVG
 
330
JFK
 
289
LAX
 
165
SYD
 
155
Other values (114)
 
992
ValueCountFrequency (%) 
02150191.8%
 
PVG3301.4%
 
JFK2891.2%
 
LAX1650.7%
 
SYD1550.7%
 
SHA870.4%
 
ICN630.3%
 
BKK440.2%
 
PEK410.2%
 
KMG400.2%
 
Other values (109)7173.1%
 
2021-02-23T13:05:47.103519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique26 ?
Unique (%)0.1%

pref_city_y1_4
Categorical

HIGH CARDINALITY

Distinct107
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22334 
PVG
 
268
SYD
 
113
JFK
 
108
SHA
 
61
Other values (102)
 
548
ValueCountFrequency (%) 
02233495.3%
 
PVG2681.1%
 
SYD1130.5%
 
JFK1080.5%
 
SHA610.3%
 
LAX440.2%
 
PEK410.2%
 
ICN350.1%
 
KMG300.1%
 
NKG220.1%
 
Other values (97)3761.6%
 
2021-02-23T13:05:47.226516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique37 ?
Unique (%)0.2%

pref_city_y1_5
Categorical

HIGH CARDINALITY

Distinct98
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22548 
PVG
 
254
SYD
 
104
JFK
 
93
SHA
 
39
Other values (93)
 
394
ValueCountFrequency (%) 
02254896.2%
 
PVG2541.1%
 
SYD1040.4%
 
JFK930.4%
 
SHA390.2%
 
CAN250.1%
 
LAX240.1%
 
ICN210.1%
 
PEK200.1%
 
KMG150.1%
 
Other values (88)2891.2%
 
2021-02-23T13:05:47.348516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique31 ?
Unique (%)0.1%

pref_city_y2_1
Categorical

HIGH CARDINALITY

Distinct85
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
PVG
5472 
SYD
 
944
SHA
 
219
JFK
 
214
Other values (80)
 
621
ValueCountFrequency (%) 
01596268.1%
 
PVG547223.4%
 
SYD9444.0%
 
SHA2190.9%
 
JFK2140.9%
 
LAX940.4%
 
XIY470.2%
 
TPE380.2%
 
TSA370.2%
 
WUH370.2%
 
Other values (75)3681.6%
 
2021-02-23T13:05:47.477519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_city_y2_2
Categorical

HIGH CARDINALITY

Distinct127
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
JFK
1738 
PVG
 
1412
LAX
 
1335
SYD
 
933
Other values (122)
2052 
ValueCountFrequency (%) 
01596268.1%
 
JFK17387.4%
 
PVG14126.0%
 
LAX13355.7%
 
SYD9334.0%
 
SHA1910.8%
 
SIN1230.5%
 
PEK920.4%
 
PUS870.4%
 
MNL810.3%
 
Other values (117)14786.3%
 
2021-02-23T13:05:47.622518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique22 ?
Unique (%)0.1%

pref_city_y2_3
Categorical

HIGH CARDINALITY

Distinct141
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
18473 
JFK
 
765
LAX
 
578
PVG
 
412
ICN
 
377
Other values (136)
2827 
ValueCountFrequency (%) 
01847378.8%
 
JFK7653.3%
 
LAX5782.5%
 
PVG4121.8%
 
ICN3771.6%
 
BKK2871.2%
 
SYD2391.0%
 
SHA2040.9%
 
PEK1210.5%
 
HKG1150.5%
 
Other values (131)18617.9%
 
2021-02-23T13:05:47.763519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_city_y2_4
Categorical

HIGH CARDINALITY

Distinct132
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21595 
PVG
 
232
JFK
 
213
LAX
 
128
SHA
 
124
Other values (127)
 
1140
ValueCountFrequency (%) 
02159592.2%
 
PVG2321.0%
 
JFK2130.9%
 
LAX1280.5%
 
SHA1240.5%
 
SYD990.4%
 
PEK750.3%
 
KMG610.3%
 
ICN560.2%
 
BKK450.2%
 
Other values (122)8043.4%
 
2021-02-23T13:05:47.896517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique30 ?
Unique (%)0.1%

pref_city_y2_5
Categorical

HIGH CARDINALITY

Distinct107
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22306 
PVG
 
194
JFK
 
154
SYD
 
82
LAX
 
55
Other values (102)
 
641
ValueCountFrequency (%) 
02230695.2%
 
PVG1940.8%
 
JFK1540.7%
 
SYD820.3%
 
LAX550.2%
 
KMG430.2%
 
HND410.2%
 
PEK360.2%
 
SHA350.1%
 
NKG280.1%
 
Other values (97)4582.0%
 
2021-02-23T13:05:48.281519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique21 ?
Unique (%)0.1%

pref_city_y3_1
Categorical

HIGH CARDINALITY

Distinct78
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
PVG
7169 
SYD
 
978
JFK
 
247
SHA
 
228
Other values (73)
 
634
ValueCountFrequency (%) 
01417660.5%
 
PVG716930.6%
 
SYD9784.2%
 
JFK2471.1%
 
SHA2281.0%
 
LAX930.4%
 
WUH490.2%
 
TSA490.2%
 
XIY410.2%
 
TPE390.2%
 
Other values (68)3631.5%
 
2021-02-23T13:05:48.411518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique29 ?
Unique (%)0.1%

pref_city_y3_2
Categorical

HIGH CARDINALITY

Distinct130
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
JFK
2207 
LAX
1820 
PVG
1500 
SYD
 
985
Other values (125)
2744 
ValueCountFrequency (%) 
01417660.5%
 
JFK22079.4%
 
LAX18207.8%
 
PVG15006.4%
 
SYD9854.2%
 
SHA2130.9%
 
SIN1860.8%
 
MNL1450.6%
 
PEK1110.5%
 
NRT1080.5%
 
Other values (120)19818.5%
 
2021-02-23T13:05:48.544518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18 ?
Unique (%)0.1%

pref_city_y3_3
Categorical

HIGH CARDINALITY

Distinct149
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17094 
JFK
 
981
LAX
 
842
ICN
 
448
BKK
 
441
Other values (144)
3626 
ValueCountFrequency (%) 
01709473.0%
 
JFK9814.2%
 
LAX8423.6%
 
ICN4481.9%
 
BKK4411.9%
 
PVG3671.6%
 
SHA2811.2%
 
SYD2541.1%
 
HKG1570.7%
 
PEK1530.7%
 
Other values (139)241410.3%
 
2021-02-23T13:05:48.680516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_city_y3_4
Categorical

HIGH CARDINALITY

Distinct146
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21197 
JFK
 
256
PVG
 
195
LAX
 
168
SHA
 
156
Other values (141)
 
1460
ValueCountFrequency (%) 
02119790.5%
 
JFK2561.1%
 
PVG1950.8%
 
LAX1680.7%
 
SHA1560.7%
 
PEK990.4%
 
SYD820.3%
 
KMG770.3%
 
ICN660.3%
 
NKG650.3%
 
Other values (136)10714.6%
 
2021-02-23T13:05:48.816519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique36 ?
Unique (%)0.2%

pref_city_y3_5
Categorical

HIGH CARDINALITY

Distinct116
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22124 
JFK
 
173
PVG
 
136
LAX
 
89
PEK
 
60
Other values (111)
 
850
ValueCountFrequency (%) 
02212494.4%
 
JFK1730.7%
 
PVG1360.6%
 
LAX890.4%
 
PEK600.3%
 
SYD580.2%
 
KMG550.2%
 
HND540.2%
 
SHA500.2%
 
BKK470.2%
 
Other values (106)5862.5%
 
2021-02-23T13:05:48.944516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28 ?
Unique (%)0.1%

recent_flt_day
Categorical

HIGH CARDINALITY

Distinct994
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
2019/1/5
 
56
2019/1/1
 
43
2019/1/6
 
43
2020/1/5
 
40
Other values (989)
9074 
ValueCountFrequency (%) 
01417660.5%
 
2019/1/5560.2%
 
2019/1/1430.2%
 
2019/1/6430.2%
 
2020/1/5400.2%
 
2019/1/11380.2%
 
2019/1/4360.2%
 
2019/8/21340.1%
 
2020/1/17340.1%
 
2018/4/2340.1%
 
Other values (984)889838.0%
 
2021-02-23T13:05:49.078517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique55 ?
Unique (%)0.2%

bag_cnt_m3
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23415 
1
 
17
ValueCountFrequency (%) 
02341599.9%
 
1170.1%
 

bag_cnt_m6
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23406 
1
 
25
2
 
1
ValueCountFrequency (%) 
02340699.9%
 
1250.1%
 
21< 0.1%
 
2021-02-23T13:05:49.185531image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

bag_cnt_y1
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23373 
1
 
56
2
 
2
3
 
1
ValueCountFrequency (%) 
02337399.7%
 
1560.2%
 
22< 0.1%
 
31< 0.1%
 
2021-02-23T13:05:49.268518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23332 
1
 
65
2
 
22
3
 
13
ValueCountFrequency (%) 
02333299.6%
 
1650.3%
 
2220.1%
 
3130.1%
 
2021-02-23T13:05:49.350518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23421 
1
 
10
2
 
1
ValueCountFrequency (%) 
023421> 99.9%
 
110< 0.1%
 
21< 0.1%
 
2021-02-23T13:05:49.434519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

flt_delay_cnt_m3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23301 
1
 
112
2
 
18
3
 
1
ValueCountFrequency (%) 
02330199.4%
 
11120.5%
 
2180.1%
 
31< 0.1%
 
2021-02-23T13:05:49.519519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

pref_orig_city_m3
Categorical

HIGH CARDINALITY

Distinct76
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22495 
Shanghai
 
347
SYDNEY
 
145
New York
 
107
Los Angeles
 
53
Other values (71)
 
285
ValueCountFrequency (%) 
02249596.0%
 
Shanghai3471.5%
 
SYDNEY1450.6%
 
New York1070.5%
 
Los Angeles530.2%
 
Kunming190.1%
 
Seoul170.1%
 
Beijing170.1%
 
Hangzhou150.1%
 
Wuhan130.1%
 
Other values (66)2040.9%
 
2021-02-23T13:05:49.622518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)0.1%

pref_orig_city_m6
Categorical

HIGH CARDINALITY

Distinct90
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21882 
Shanghai
 
638
SYDNEY
 
234
New York
 
171
Los Angeles
 
79
Other values (85)
 
428
ValueCountFrequency (%) 
02188293.4%
 
Shanghai6382.7%
 
SYDNEY2341.0%
 
New York1710.7%
 
Los Angeles790.3%
 
Beijing310.1%
 
BANGKOK260.1%
 
Kunming250.1%
 
Wuhan240.1%
 
Hangzhou230.1%
 
Other values (80)2991.3%
 
2021-02-23T13:05:49.741518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_orig_city_y1
Categorical

HIGH CARDINALITY

Distinct102
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20327 
Shanghai
 
1442
New York
 
437
SYDNEY
 
372
Los Angeles
 
213
Other values (97)
 
641
ValueCountFrequency (%) 
02032786.7%
 
Shanghai14426.2%
 
New York4371.9%
 
SYDNEY3721.6%
 
Los Angeles2130.9%
 
Beijing480.2%
 
Wuhan370.2%
 
Nanjing350.1%
 
Kunming340.1%
 
Hong Kong-Hlpt310.1%
 
Other values (92)4561.9%
 
2021-02-23T13:05:49.863519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique25 ?
Unique (%)0.1%

pref_orig_city_y2
Categorical

HIGH CARDINALITY

Distinct104
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15962 
Shanghai
4406 
New York
 
907
SYDNEY
 
650
Los Angeles
 
494
Other values (99)
 
1013
ValueCountFrequency (%) 
01596268.1%
 
Shanghai440618.8%
 
New York9073.9%
 
SYDNEY6502.8%
 
Los Angeles4942.1%
 
BANGKOK820.3%
 
Beijing650.3%
 
Seoul610.3%
 
Hong Kong-Hlpt460.2%
 
Kunming370.2%
 
Other values (94)7223.1%
 
2021-02-23T13:05:50.000518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_orig_city_y3
Categorical

HIGH CARDINALITY

Distinct102
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
14176 
Shanghai
5783 
New York
 
1052
Los Angeles
 
720
SYDNEY
 
651
Other values (97)
 
1050
ValueCountFrequency (%) 
01417660.5%
 
Shanghai578324.7%
 
New York10524.5%
 
Los Angeles7203.1%
 
SYDNEY6512.8%
 
BANGKOK910.4%
 
Beijing680.3%
 
Seoul520.2%
 
Hong Kong-Hlpt520.2%
 
Kunming450.2%
 
Other values (92)7423.2%
 
2021-02-23T13:05:50.132526image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_dest_city_m3
Categorical

HIGH CARDINALITY

Distinct77
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22658 
Shanghai
 
288
SYDNEY
 
106
New York
 
94
Los Angeles
 
56
Other values (72)
 
230
ValueCountFrequency (%) 
02265896.7%
 
Shanghai2881.2%
 
SYDNEY1060.5%
 
New York940.4%
 
Los Angeles560.2%
 
Beijing270.1%
 
BANGKOK9< 0.1%
 
Guangzhou9< 0.1%
 
Xi'an9< 0.1%
 
Nanjing8< 0.1%
 
Other values (67)1680.7%
 
2021-02-23T13:05:50.268516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)0.1%

pref_dest_city_m6
Categorical

HIGH CARDINALITY

Distinct90
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22165 
Shanghai
 
458
SYDNEY
 
171
New York
 
163
Los Angeles
 
93
Other values (85)
 
382
ValueCountFrequency (%) 
02216594.6%
 
Shanghai4582.0%
 
SYDNEY1710.7%
 
New York1630.7%
 
Los Angeles930.4%
 
Beijing400.2%
 
TAIPEI190.1%
 
Kunming180.1%
 
Hangzhou140.1%
 
BANGKOK140.1%
 
Other values (80)2771.2%
 
2021-02-23T13:05:50.393517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique28 ?
Unique (%)0.1%

pref_dest_city_y1
Categorical

HIGH CARDINALITY

Distinct94
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20873 
Shanghai
 
1068
SYDNEY
 
373
New York
 
336
Los Angeles
 
144
Other values (89)
 
638
ValueCountFrequency (%) 
02087389.1%
 
Shanghai10684.6%
 
SYDNEY3731.6%
 
New York3361.4%
 
Los Angeles1440.6%
 
Seoul490.2%
 
Beijing470.2%
 
TAIPEI370.2%
 
Kunming300.1%
 
Nanjing210.1%
 
Other values (84)4541.9%
 
2021-02-23T13:05:50.516516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18 ?
Unique (%)0.1%

pref_dest_city_y2
Categorical

HIGH CARDINALITY

Distinct95
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
17010 
Shanghai
3584 
New York
 
924
SYDNEY
 
718
Los Angeles
 
517
Other values (90)
 
679
ValueCountFrequency (%) 
01701072.6%
 
Shanghai358415.3%
 
New York9243.9%
 
SYDNEY7183.1%
 
Los Angeles5172.2%
 
Beijing480.2%
 
TAIPEI440.2%
 
Wuhan350.1%
 
Kunming350.1%
 
BANGKOK330.1%
 
Other values (85)4842.1%
 
2021-02-23T13:05:50.652519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique24 ?
Unique (%)0.1%

pref_dest_city_y3
Categorical

HIGH CARDINALITY

Distinct89
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
15622 
Shanghai
4721 
New York
 
993
SYDNEY
 
737
Los Angeles
 
642
Other values (84)
 
717
ValueCountFrequency (%) 
01562266.7%
 
Shanghai472120.1%
 
New York9934.2%
 
SYDNEY7373.1%
 
Los Angeles6422.7%
 
BANGKOK520.2%
 
Beijing510.2%
 
TAIPEI460.2%
 
Seoul400.2%
 
Kunming390.2%
 
Other values (79)4892.1%
 
2021-02-23T13:05:50.788517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique20 ?
Unique (%)0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
11< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23430 
1
 
2
ValueCountFrequency (%) 
023430> 99.9%
 
12< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23430 
1
 
2
ValueCountFrequency (%) 
023430> 99.9%
 
12< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23428 
1
 
4
ValueCountFrequency (%) 
023428> 99.9%
 
14< 0.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23415 
1
 
15
2
 
2
ValueCountFrequency (%) 
02341599.9%
 
1150.1%
 
22< 0.1%
 
2021-02-23T13:05:50.903516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23423 
2
 
5
1
 
4
ValueCountFrequency (%) 
023423> 99.9%
 
25< 0.1%
 
14< 0.1%
 
2021-02-23T13:05:50.991516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23420 
1
 
8
2
 
3
3
 
1
ValueCountFrequency (%) 
02342099.9%
 
18< 0.1%
 
23< 0.1%
 
31< 0.1%
 
2021-02-23T13:05:51.074515image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

pit_accu_cnt_m3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23300 
1
 
93
2
 
33
3
 
6
ValueCountFrequency (%) 
02330099.4%
 
1930.4%
 
2330.1%
 
36< 0.1%
 
2021-02-23T13:05:51.157517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23411 
1
 
21
ValueCountFrequency (%) 
02341199.9%
 
1210.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1700
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
17001< 0.1%
 
2021-02-23T13:05:51.249519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
25000
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
250001< 0.1%
 
2021-02-23T13:05:51.333519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23339 
1
 
71
2
 
19
3
 
3
ValueCountFrequency (%) 
02333999.6%
 
1710.3%
 
2190.1%
 
33< 0.1%
 
2021-02-23T13:05:51.415516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23411 
1
 
19
4
 
1
2
 
1
ValueCountFrequency (%) 
02341199.9%
 
1190.1%
 
41< 0.1%
 
21< 0.1%
 
2021-02-23T13:05:51.499518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
11< 0.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23424 
1
 
7
2
 
1
ValueCountFrequency (%) 
023424> 99.9%
 
17< 0.1%
 
21< 0.1%
 
2021-02-23T13:05:51.586516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23422 
1
 
9
2
 
1
ValueCountFrequency (%) 
023422> 99.9%
 
19< 0.1%
 
21< 0.1%
 
2021-02-23T13:05:51.673519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
11< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23403 
1
 
29
ValueCountFrequency (%) 
02340399.9%
 
1290.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23388 
1
 
18
5
 
14
2
 
12
ValueCountFrequency (%) 
02338899.8%
 
1180.1%
 
5140.1%
 
2120.1%
 
2021-02-23T13:05:51.757517image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23431 
1
 
1
ValueCountFrequency (%) 
023431> 99.9%
 
11< 0.1%
 
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23406 
1
 
23
2
 
3
ValueCountFrequency (%) 
02340699.9%
 
1230.1%
 
23< 0.1%
 
2021-02-23T13:05:51.842519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23426 
1
 
6
ValueCountFrequency (%) 
023426> 99.9%
 
16< 0.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23422 
1
 
6
3
 
2
2
 
2
ValueCountFrequency (%) 
023422> 99.9%
 
16< 0.1%
 
32< 0.1%
 
22< 0.1%
 
2021-02-23T13:05:51.926519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23398 
1
 
28
2
 
4
3
 
2
ValueCountFrequency (%) 
02339899.9%
 
1280.1%
 
24< 0.1%
 
32< 0.1%
 
2021-02-23T13:05:52.007519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23300 
1
 
93
2
 
33
3
 
6
ValueCountFrequency (%) 
02330099.4%
 
1930.4%
 
2330.1%
 
36< 0.1%
 
2021-02-23T13:05:52.088518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23408 
1
 
24
ValueCountFrequency (%) 
02340899.9%
 
1240.1%
 

pit_add_chnl_m3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
23300 
航空累积
 
118
非航累积
 
14
ValueCountFrequency (%) 
02330099.4%
 
航空累积1180.5%
 
非航累积140.1%
 
2021-02-23T13:05:52.172519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_add_chnl_m6
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22841 
航空累积
 
557
非航累积
 
34
ValueCountFrequency (%) 
02284197.5%
 
航空累积5572.4%
 
非航累积340.1%
 
2021-02-23T13:05:52.256519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_add_chnl_y1
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
22229 
航空累积
 
1180
非航累积
 
23
ValueCountFrequency (%) 
02222994.9%
 
航空累积11805.0%
 
非航累积230.1%
 
2021-02-23T13:05:52.344518image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

pit_add_chnl_y2
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
21143 
航空累积
2253 
非航累积
 
35
积分购买
 
1
ValueCountFrequency (%) 
02114390.2%
 
航空累积22539.6%
 
非航累积350.1%
 
积分购买1< 0.1%
 
2021-02-23T13:05:52.427519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

pit_add_chnl_y3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size183.1 KiB
0
20889 
航空累积
2398 
非航累积
 
144
积分购买
 
1
ValueCountFrequency (%) 
02088989.1%
 
航空累积239810.2%
 
非航累积1440.6%
 
积分购买1< 0.1%
 
2021-02-23T13:05:52.509519image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%